AWS CodeBuild MCP Server
AWS CodeBuild is a fully managed continuous integration and continuous delivery (CI/CD) service provided by Amazon Web Services (AWS) that automates the process of building, testing, and packaging software.
Quick Start Summary
The AWS CodeBuild MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS CodeBuild API through natural language. It exposes 10 API endpoints as callable tools, such as BatchDeleteBuilds, BatchGetBuildBatches, BatchGetBuilds, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-codebuild. This integration is sourced from the auto AWS CodeBuild OpenAPI specification (v2016-10-06) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Cloud Infrastructure
- Authentication
- None
- Endpoints
- 10 operations
- Transport
- STDIO
- Spec Version
- v2016-10-06
- Install Command
npx -y @mcp/amazonaws-com-codebuild
Environment Variables
AWS_CODEBUILD_API_KEYExample: your_aws_codebuild_api_key
Top Endpoints
/#X-Amz-Target=CodeBuild_20161006.BatchDeleteBuildsBatchDeleteBuilds
/#X-Amz-Target=CodeBuild_20161006.BatchGetBuildBatchesBatchGetBuildBatches
/#X-Amz-Target=CodeBuild_20161006.BatchGetBuildsBatchGetBuilds
/#X-Amz-Target=CodeBuild_20161006.BatchGetProjectsBatchGetProjects
/#X-Amz-Target=CodeBuild_20161006.BatchGetReportGroupsBatchGetReportGroups
One-Click Install
Copy the snippet for your MCP client and paste it in — zero editing required.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"amazonaws-com-codebuild": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-codebuild"
],
"env": {
"AWS_CODEBUILD_API_KEY": "your_aws_codebuild_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-codebuild": {
"url": "https://mcpbridge.org/config/amazonaws-com-codebuild.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-codebuild": {
"url": "https://mcpbridge.org/config/amazonaws-com-codebuild.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling AWS CodeBuild endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/codebuild/2016-10-06/#X-Amz-Target=CodeBuild_20161006.BatchDeleteBuilds" \ -H "Content-Type: application/json" \ # No auth required
Manual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"amazonaws-com-codebuild": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-codebuild"],
"env": {
"AWS_CODEBUILD_API_KEY": "your_aws_codebuild_api_key"
}
}
}
}Authentication Details
No authentication required. This MCP server runs out-of-the-box.
Documentation Links
Error Handling & HTTP Status Code Matrix
Common status codes, error causes, and resolution steps when invoking AWS CodeBuild endpoints.
400 Bad RequestCause: Malformed payload parameters or missing required fields.
Resolution: Verify request schema in Endpoints tab before calling tool.
401 UnauthorizedCause: Missing or invalid API key credentials.
Resolution: Set environment variable in MCP client config under env object.
403 ForbiddenCause: Insufficient scope permissions for requested resource.
Resolution: Verify key permissions in developer dashboard.
404 Not FoundCause: Resource URL path or requested entity ID does not exist.
Resolution: Check path variables and parameters.
429 Rate Limit ExceededCause: API rate limit quota exceeded.
Resolution: Implement exponential backoff retry in tool call.
500 Internal ErrorCause: Upstream server runtime fault.
Resolution: Inspect STDIO stderr output for log trace.
Quality Score
Checked against our protocol-compliance rules.
Specification Version: v2016-10-06
Page compiled on: June 13, 2026
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📖 Detailed MCP Integration Guide
A technical breakdown of capabilities, agent workflows, and security/configuration best practices.
buildspec.yml), developers can configure CodeBuild to pull source code from repositories like AWS CodeCommit, GitHub, or Bitbucket; execute a series of commands to compile source code, run unit tests, and perform static code analysis; and then produce versioned build artifacts (such as JAR files, Docker images, or deployment packages) that are stored in Amazon S3 or other designated outputs. Core capabilities include support for multiple build environments (e.g., Java, Python, Node.js, Docker, Android), integration with other AWS services for secrets management (AWS Secrets Manager), artifact encryption, and detailed build reporting. It is a foundational component for enterprise DevOps pipelines, enabling teams to enforce consistent, reproducible builds across development, staging, and production environments while adhering to compliance and security standards.~/.aws/credentials), environment variables, or, ideally, AWS Identity and Access Management (IAM) roles if the AI agent is running on an AWS resource like an EC2 instance or Lambda function. The principle of least privilege is essential: the IAM user or role used by the AI agent should be granted only the specific CodeBuild permissions required for its tasks (e.g., codebuild:BatchGetBuilds, codebuild:CreateProject, codebuild:BatchGetReportGroups), and nothing more. Furthermore, API keys or session tokens used for authentication should be managed securely and rotated regularly. It is also a best practice to restrict the agent's access to specific projects using IAM condition keys, and to ensure that sensitive build environment variables and source credentials are stored in AWS Secrets Manager or Parameter Store, not directly in project configurations, to prevent accidental exposure through API queries.Similar APIs
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